Data Engineer III (Fraud Team)

Felix Pago Partnership; Miami (FL); Hybrid; USD 90,000 - 120,000; Full time

Job summary

A leading company in cross-border payments is seeking a Data Engineer III to enhance fraud prevention systems. The role involves developing scalable data processes, working with cross-functional teams, and leveraging high-quality data to protect users. Join a dynamic team committed to innovation and excellence in the fintech space.

Benefits

Competitive salary

Initial stock options grant

Annual performance bonus

Health, dental, and vision plans

Unlimited PTO

Paid parental leave

Continuous learning opportunities

Qualifications

• 4+ years of experience as a Software Engineer or Data Engineer.
• 2+ years of experience with fraud prevention and risk analytics.

Responsibilities

• Design and maintain scalable systems for risk decision-making.
• Build robust data pipelines for real-time and batch processing.
• Implement data governance and quality frameworks.

Skills

Problem-Solving

Communication

Collaboration

Education

Bachelor's Degree

Tools

Apache Beam

Dataflow

Spark

Flink

Kafka Streams

Google Cloud

Job description

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About Us

Félix is a chat-based platform that enables Latinos in the US to send money home, pioneering remittance services via WhatsApp. We combine Blockchain and Artificial Intelligence to disrupt how remittances are done today and build the future of cross-border payments.

About Us

Félix is a chat-based platform that enables Latinos in the US to send money home, pioneering remittance services via WhatsApp. We combine Blockchain and Artificial Intelligence to disrupt how remittances are done today and build the future of cross-border payments.

By joining Felix you will be part of the most innovative company in the cross-border payment industry. We recently received investment from top VCs from Silicon Valley, Europe, and Latam, as well as we won Blockchain and AI innovation and application awards at the Wharton Business School. In 2024, Félix was one of the 12 companies selected as “Endeavour Entrepreneur” by its global network, and also a recipient of the CrossTech Fintech Startups Award. You will be joining the journey to build the financial platform and become a companion for the Latino community in the United States!

We're obsessed with our customers, and we're building a product that truly empowers them. We are a team of extremely talented high performers, loyal to each other, and committed to providing a magical experience to all our users. We're all owners, driven by a shared vision to create sustainable value. We move with urgency and focus, always striving for excellence and exceeding expectations.

About The Role

As a member of our team, you will play a pivotal role in shaping our fraud prevention infrastructure by developing robust and scalable data processes and systems. Félix thrives on innovation and agility, where every team member has a high level of autonomy and accountability. Your work will have a direct impact on risk decision-making, helping us protect millions of Latinos in the United States by leveraging high-quality data. We embrace a culture of continuous feedback and iteration, ensuring that our solutions are adaptable, efficient, and effective.

To be successful in this position, you must be passionate about building scalable data infrastructure, enjoy working with cross-functional teams, and be eager to solve complex data challenges. Your contributions will help drive our risk strategies and ensure that Latinos get the best level of protection against fraud and financial threats.

Responsibilities

• Design, develop, and maintain scalable and high-performing systems and processes to support risk decision-making.
• Build robust data pipelines for real-time and batch processing, ensuring high availability and low latency.
• Architect and optimize data infrastructure to efficiently store, retrieve, and process large-scale data for fraud prevention.
• Implement data governance, quality, and observability frameworks to maintain data integrity and trustworthiness.
• Work closely with cross-functional teams to integrate risk data into backend microservices and APIs.
• Establish best practices for data engineering, including CI/CD pipelines, data versioning, and performance monitoring.
  
  

Requirements

• 4+ years of experience as a Software Engineer or Data Engineer in a fast-paced, data-intensive environment.
• 2+ years of experience with fraud prevention and risk analytics.
• Strong background in building and managing scalable data infrastructure (e.g., data lakes, warehouses, and feature stores).
• Experience with real-time and batch data processing frameworks (e.g., Apache Beam, Dataflow, Spark, Flink, Kafka Streams).
• Proficiency in Python and SQL, with experience in data modeling and ETL pipelines.
• Strong problem-solving skills and the ability to navigate ambiguity.
• Excellent communication and collaboration skills to work effectively across teams.
• Hands-on experience with Google Cloud services such as BigQuery, Cloud Storage, Pub/Sub, Cloud Composer (Airflow), and Dataflow (a plus).
• Curiosity and/or experience in Fintech (a plus).
• These are the applicable requisites, although equivalent competencies in any of the above will also be considered.
  
  

What We Offer

• Competitive salary
• Initial stock options grant
• Annual performance bonus
• Health, dental, and vision plans
• Remote work environment, although we have offices in Miami and México City and would love to work in hybrid model if you are up to it.
• Continuous learning opportunities
• Unlimited PTO
• Paid parental leave
• Empowering opportunities for growth in a dynamic entrepreneurial environment
  
  

Equal Opportunity Employer

At Félix, we are committed to providing equal employment opportunities to all qualified employees and applicants without regard to race, religion, nationality, sex, sexual orientation, gender identity, age, or disability. This policy applies to all terms and conditions of employment, including recruitment, hiring, placement, promotion, training, compensation, benefits, and termination.

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Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

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